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Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome

Non-small cell lung cancer (NSCLC) is associated with low survival rates, often due to late diagnosis and lack of personalized medicine. Diagnosing and monitoring NSCLC using blood samples has lately gained interest due to its less invasive nature. In the present study, plasma was collected at three...

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Autores principales: Bodén, Embla, Andreasson, Jesper, Hirdman, Gabriel, Malmsjö, Malin, Lindstedt, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687227/
https://www.ncbi.nlm.nih.gov/pubmed/36359256
http://dx.doi.org/10.3390/biomedicines10112738
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author Bodén, Embla
Andreasson, Jesper
Hirdman, Gabriel
Malmsjö, Malin
Lindstedt, Sandra
author_facet Bodén, Embla
Andreasson, Jesper
Hirdman, Gabriel
Malmsjö, Malin
Lindstedt, Sandra
author_sort Bodén, Embla
collection PubMed
description Non-small cell lung cancer (NSCLC) is associated with low survival rates, often due to late diagnosis and lack of personalized medicine. Diagnosing and monitoring NSCLC using blood samples has lately gained interest due to its less invasive nature. In the present study, plasma was collected at three timepoints and analyzed using proximity extension assay technology and quantitative real-time polymerase chain reaction in patients with primary NSCLC stages IA–IIIA undergoing surgery. Results were adjusted for patient demographics, tumor, node, metastasis (TNM) stage, and multiple testing. Major histocompatibility (MHC) class 1 polypeptide-related sequence A/B (MIC-A/B) and tumor necrosis factor ligand superfamily member 6 (FASLG) were significantly increased post-surgery, suggesting radical removal of cancerous cells. Levels of hepatocyte growth factor (HGF) initially increased postoperatively but were later lowered, potentially indicating radical removal of malignant cells. The levels of FASLG in patients who later died or had a relapse of NSCLC were lower at all three timepoints compared to surviving patients without relapse, indicating that FASLG may be used as a prognostic biomarker. The biomarkers were confirmed using microarray data. In conclusion, quantitative proteomics could be used for NSCLC identification but may also provide information on radical surgical removal of NSCLC and post-surgical prognosis.
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spelling pubmed-96872272022-11-25 Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome Bodén, Embla Andreasson, Jesper Hirdman, Gabriel Malmsjö, Malin Lindstedt, Sandra Biomedicines Article Non-small cell lung cancer (NSCLC) is associated with low survival rates, often due to late diagnosis and lack of personalized medicine. Diagnosing and monitoring NSCLC using blood samples has lately gained interest due to its less invasive nature. In the present study, plasma was collected at three timepoints and analyzed using proximity extension assay technology and quantitative real-time polymerase chain reaction in patients with primary NSCLC stages IA–IIIA undergoing surgery. Results were adjusted for patient demographics, tumor, node, metastasis (TNM) stage, and multiple testing. Major histocompatibility (MHC) class 1 polypeptide-related sequence A/B (MIC-A/B) and tumor necrosis factor ligand superfamily member 6 (FASLG) were significantly increased post-surgery, suggesting radical removal of cancerous cells. Levels of hepatocyte growth factor (HGF) initially increased postoperatively but were later lowered, potentially indicating radical removal of malignant cells. The levels of FASLG in patients who later died or had a relapse of NSCLC were lower at all three timepoints compared to surviving patients without relapse, indicating that FASLG may be used as a prognostic biomarker. The biomarkers were confirmed using microarray data. In conclusion, quantitative proteomics could be used for NSCLC identification but may also provide information on radical surgical removal of NSCLC and post-surgical prognosis. MDPI 2022-10-28 /pmc/articles/PMC9687227/ /pubmed/36359256 http://dx.doi.org/10.3390/biomedicines10112738 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bodén, Embla
Andreasson, Jesper
Hirdman, Gabriel
Malmsjö, Malin
Lindstedt, Sandra
Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome
title Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome
title_full Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome
title_fullStr Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome
title_full_unstemmed Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome
title_short Quantitative Proteomics Indicate Radical Removal of Non-Small Cell Lung Cancer and Predict Outcome
title_sort quantitative proteomics indicate radical removal of non-small cell lung cancer and predict outcome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687227/
https://www.ncbi.nlm.nih.gov/pubmed/36359256
http://dx.doi.org/10.3390/biomedicines10112738
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